---
license: mit
base_model: microsoft/table-transformer-detection
tags:
- generated_from_trainer
model-index:
- name: table-transformer-fiery-silence-39
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# table-transformer-fiery-silence-39

This model is a fine-tuned version of [microsoft/table-transformer-detection](https://huggingface.co./microsoft/table-transformer-detection) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1709

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0833        | 1.0   | 125  | 0.1725          |
| 0.0803        | 2.0   | 250  | 0.1700          |
| 0.0746        | 3.0   | 375  | 0.1703          |
| 0.072         | 4.0   | 500  | 0.1720          |
| 0.0691        | 5.0   | 625  | 0.1733          |
| 0.0676        | 6.0   | 750  | 0.1698          |
| 0.0661        | 7.0   | 875  | 0.1712          |
| 0.0634        | 8.0   | 1000 | 0.1713          |
| 0.0624        | 9.0   | 1125 | 0.1722          |
| 0.0654        | 10.0  | 1250 | 0.1709          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3